@conference { c:whitsitt-ecbs-2012, title = {On the Extraction and Analysis of a Social Network with Partial Organizational Observation}, booktitle = {Proceedings of the 19th IEEE International Conference and Workshops on Engineering of Computer-Based Systems}, year = {2012}, pages = {249-256}, abstract = {

The behavior of an organization may be inferred based on the behavior of its members, their contacts, and their connectivity. One approach to organizational analysis is the construction and interpretation of a social network graph, where entities of an organization (persons, vehicles, locations, events, etc.) are nodes, and edges represent varying kinds of connectivity between entities. This paper describes a transformation based approach to the extraction of a social network graph, where the original data comprising (partial) observation of the organization are embedded on a graph with a different ontology, and with many entities and edges that are unrelated to the organization of interest. Social network extraction allows the inference of implied relationships, and the selection of relationships relevant for intended analysis techniques. The analysis of the resulting social network graph is based on organizational and individual analysis, in order to permit an advanced user to draw conclusions regarding the behavior of the organization, based on established social network graph metrics. The results of the paper include a discussion of the complexity of analysis, and how the observation data graph is pruned in order to scale the application of analysis algorithms.

}, doi = {10.1109/ECBS.2012.33}, url = {http://dx.doi.org/10.1109/ECBS.2012.33}, author = {Sean Whitsitt and Abishek Gopalan and Sangman Cho and Jonathan Sprinkle and Srinivasan Ramasubramanian and Liana Suantak and Jerzy Rozenblit} } @conference { c:sachi-ecbs-2011, title = {Hardware/Software Communication Middleware for Data Adaptable Embedded Systems}, booktitle = {Proceedings of the 18th IEEE International Conference and Workshops on Engineering of Computer-Based Systems}, year = {2011}, pages = {34-43}, publisher = {IEEE Computer Society Press}, organization = {IEEE Computer Society Press}, abstract = {

Recent trends toward increased flexibility and configurability in emerging applications present demanding challenges for implementing systems that incorporate such capabilities. The resulting application configuration space is generally much larger than any one hardware implementation can support. We provide an overview of a new data-adaptive approach to the rapid design and implementation of such highly configurable applications. In support of this data-adaptable approach, we present and detail an efficient and flexible hardware/software communication middleware to support the seamless communication between hardware and software tasks at runtime. We highlight the flexibility of this interface and present an initial case study and results demonstrating the performance capabilities and area requirements.

}, doi = {10.1109/ECBS.2011.12}, url = {http://dx.doi.org/10.1109/ECBS.2011.12}, author = {Sachidanand Mahadevan and Vijay Gopinath and Roman Lysecky and Jonathan Sprinkle and Jerzy Rozenblit and Michael Marcellin} }